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Data Completeness
2/26 Core Data 20 Datasets 15 Organisations Show legend
What is Data Completeness?
Data Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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Affected People
3 Datasets
Coordination & Context
4 Datasets
Geography & Infrastructure
6 Datasets
Health & Education
3 Datasets
Population & Socio-economic Indicators
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  • 1000+ Downloads
    Updated July 3, 2019 | Dataset date: Jan 1, 2017-Dec 31, 2018
    This dataset updates: Every year
    The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This is our sixth report documenting attacks on health care in conflict countries around the world. This page is managed by SHCC member Insecurity Insight.
  • 300+ Downloads
    Updated July 3, 2019 | Dataset date: May 13, 2019
    This dataset updates: Every week
    This dataset contains the data used by the Humanitarian Country Team in Somalia to monitor the evolution of the drought situation in Somalia. The data covers the following topics: Internal displacement by cause (drought related, conflict/insecurity, other cause) River levels in the Shabelle and Juba rivers Water prices by Region Cumulative annual rainfall Disease burden (acute watery diarrhea (AWD)/cholera, bloody diarrhea and measles) Monthly response monitoring by region for the following indicators: CCCM: Number of people benefiting from site improvement projects EDUCATION: Number of children with access to safe drinking water FOOD SECURITY: Number of people reached through activities geared towards improving access to food and safety nets HEALTH: Number of medical consultations NUTRITION: Number of acute malnutrition admissions PROTECTION: Number of girls and boys, women and men participating in community-based psycho-social activities SHELTER: Number of people in need of emergency assistance receiving appropriate NFIs through in-kind distribution, vouchers or cash WASH: Number of people reached with access to sustainable safe water services The sources for the data are as follows: IDP data (PRMN/UNHCR); Rainfall and Rivers (SWALIM); Diseases (Health Cluster/WHO); Monthly Response (Humanitarian Clusters), Water Prices (FAO)
  • 500+ Downloads
    Updated June 28, 2019 | Dataset date: Nov 30, 2016
    This dataset updates: Never
    Kenya’s commitment to close down Dadaab by mid-2017, the world’s largest refugee camp hosting over 300,000 Somalis, is putting increasing pressure on service delivery and infrastructure in Somalia. By October 2016, an estimate of 31,226 Somali people have returned from Kenya, the majority of which are heading to Kismayo, Baidoa, Luuq and Mogadishu. While the caseload of returnees is expected to continue growing over the coming months, there is no clear understanding of movement patterns of returnees or internally displaced persons which further complicates the attempts by humanitarian organisations to provide for required services. The absence of a CCCM cluster in Somalia means that information on humanitarian needs and gaps has been limited to ad-hoc and un-coordinated assessments. The Kismayo IDP settlement assessment was triggered as a result of the need for a multi-cluster, area-based and coordinated information approach for humanitarian planning and service delivery in informal IDP settlements in Somalia. The Kismayo IDP Settlement Assessment was carried out with financial support from USAID-OFDA and ECHO and in close collaboration with clusters (WASH, Shelter & NFIs, Education, Food Security, Health, Nutrition and Protection).
  • 400+ Downloads
    Updated June 28, 2019 | Dataset date: Nov 30, 2016
    This dataset updates: Never
    Kenya’s commitment to close down Dadaab by mid-2017, the world’s largest refugee camp hosting over 300,000 Somalis, is putting increasing pressure on service delivery and infrastructure in Somalia. By October 2016, an estimate of 31,226 Somali people have returned from Kenya, the majority of which are heading to Kismayo, Baidoa, Luuq and Mogadishu. While the caseload of returnees is expected to continue growing over the coming months, there is no clear understanding of movement patterns of returnees or internally displaced persons which further complicates the attempts by humanitarian organisations to provide for required services. The absence of a CCCM cluster in Somalia means that information on humanitarian needs and gaps has been limited to ad-hoc and un-coordinated assessments. The Kismayo IDP settlement assessment was triggered as a result of the need for a multi-cluster, area-based and coordinated information approach for humanitarian planning and service delivery in informal IDP settlements in Somalia. The Kismayo IDP Settlement Assessment was carried out with financial support from USAID-OFDA and ECHO and in close collaboration with clusters (WASH, Shelter & NFIs, Education, Food Security, Health, Nutrition and Protection).
  • 400+ Downloads
    Updated June 28, 2019 | Dataset date: Jan 1, 2015-Jun 1, 2015
    This dataset updates: Never
    This is a dataset containing information on various selected indicators from the borderland districts in Kenya, Uganda, Somalia, Ethiopia and South Sudan.
  • 200+ Downloads
    Updated June 28, 2019 | Dataset date: Jan 1, 2017-Feb 28, 2019
    This dataset updates: Every month
    This dataset contains agency- and publicly-reported data for events in which an aid worker, educator or health worker was killed, kidnapped, or arrested. Categorized by country.
  • 20+ Downloads
    Updated June 28, 2019 | Dataset date: Jan 1, 2019-Jun 30, 2019
    This dataset updates: As needed
    Food security is expected to deteriorate in parts of northern and central Somalia from February to June 2019. Many northern and central agropastoral and pastoral livelihoods will deteriorate to Crisis (IPC Phase 3) until May/June, when the onset of Gu rainfall leads to improved livestock productivity, livestock births increasing saleable animals, and increased agricultural labor opportunities. In the absence of assistance, food security outcomes are expected to deteriorate to Emergency (IPC Phase 4) in Guban Pastoral livelihood zone and to Crisis (IPC Phase 3) in central Addun Pastoral, Northern Inland Pastoral, East Golis Pastoral of Sanaag, northwestern Hawd Pastoral, Southern Agropastoral of Hiiran and Bay-Bakool Low Potential Agropastoral livelihood zones. More than 1.5 million people will face Crisis or worse (IPC Phase 3 or higher) through June 2019. An additional 3.4 million people are classified as Stressed (IPC Phase 2), which brings the total number of people in Somalia facing acute food insecurity through mid-2019 to 4.9 million. For more visit: ipcinfo.org
  • 700+ Downloads
    Updated June 27, 2019 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: Every year
    Attacks on educational staff and facilities in 2017. This dataset contains agency- and publicly-reported data for events in which affected the provision of education. Categorized by country.
  • 100+ Downloads
    Updated June 12, 2019 | Dataset date: Dec 31, 2015
    This dataset updates: Never
    EDUCATION Adult Illiteracy Rate ( % ) - Taux d'analphabetisme des adultes (% )
  • 700+ Downloads
    Updated June 7, 2019 | Dataset date: Jun 7, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • Updated May 28, 2019 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: Every year
    Age and sex structures: WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Tatem et al and Pezzulo et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020 structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map population age and sex counts for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076).
  • Updated May 28, 2019 | Dataset date: Jan 1, 2014-Dec 31, 2017
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Somalia 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00485
  • Updated May 28, 2019 | Dataset date: Jan 1, 2014-Dec 31, 2017
    This dataset updates: Every year
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Somalia 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00377
  • 60+ Downloads
    Updated May 28, 2019 | Dataset date: Jan 1, 2000-Dec 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Stevens et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020. These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map populations for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
  • 40+ Downloads
    Updated May 15, 2019 | Dataset date: Oct 6, 2016
    This dataset updates: Never
    This map illustrates satellite-detected areas of displaced persons shelters in the Dalxiska settlement, north of Kismayo, Lower Juba, Somalia. UNITAR-UNOSAT analysis of WorldView-3 satellite imagery acquired 08 September 2016 revealed a total of 2,426 shelters as well as 200 infrastructure and support buildings within the compound. A new shelter zone, labeled camp 2 on the map, is possibly planned north of the main settlement. To the south, camp 1 extends into the town of Dalxiska, often blending in to the city structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 30+ Downloads
    Updated May 15, 2019 | Dataset date: May 9, 2017
    This dataset updates: Never
    This map illustrates satellite-detected areas of displaced person settlements in Baidoa town, the southwestern capital of Bay region in Somalia. Using a Worlview-2 satellite image collected on 21 April 2017, UNOSAT analyzed the town of Baidoa and its outskirts areas and identified 272 locations where displaced person shelters are visible. A total of approximately 33,467 shelter structures are estimated to be within the ~149 hectares of settlement area. This represent an increase of 143% in shelter structures compared with the last UNOSAT analysis performed using imagery collected on 22 January 2017, where a total of 13,766 shelters, inside 144 locations, within 96 hectares of settlement area were detected. Note that also 1,288 additional shelters were detected in the previous analysis but were not detected in the current one as they are obscured by clouds in the image from 21 April 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 100+ Downloads
    Updated May 15, 2019 | Dataset date: May 6, 2018
    This dataset updates: Every day
    UNOSAT produced satellite-detected flood water extent and IDP distribtuion within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 & WorldView-3 images acquired on the 30 April & 1 May 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. Around 70% of the extension of the town is totally inundated, being the districts of Bulahabley, Bundaweyn, Dhagahjebis, Hilac, Hindab and Lamagalay Regional Military Based, Radar and Kutimbo completely submerged in water. The flood waters inside areas of partially flooded districts are receding. More than 110 IDP sites are located inside the town, and 50% of them are inside areas completly flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Feb 8, 2018
    This dataset updates: Every year
    This map illustrates satellite-detected areas of displaced person settlements in Baidoa town, the southwestern capital of Bay Region in Somalia. Using a WorldView-2 satellite image collected on 30 December 2017, UNOSAT analyzed a total of 286 distinct IDP shelter sites including 81 new sites, 62 expanded sites, 49 contracted site and 94 unchanged sites as well as 73 closed sites. Compared to the previous analysis on 21 April 2017, this represents an increase of 16 sites (5.9%). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected flood water extent over Booco and Hagan areas, Hiraan region, Somalia using a Radarsat-2 image acquired on 09 May 2018. Within the extent of the map about 4,000 ha of land appear to be inundated and according to WorldPop data, ~22,000 people, live within the extent of this map about 6,500 within 100 meters distance from the flooded areas which corresponds to about 30% of population in this zone. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent over the district of Belet Weyne, Hiraan region, Somalia using a SAR image from 06 May 2018 and an optical VHR image over Beledweyne town. More than 2800 km2 of lands were assessed and about 19,000 ha (190km2) appear to be inundated which corresponds to about to about 7% of the total analysed zone. In this analysed area and according to WorldPop data the population is estimated to ~126,000 people, ~ 32,000 live in the flooded zone and about 70,000 within 100 meters distance from the flooded areas. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent in the district of Jilib, Middle Juba, Somalia. The analysis was conducted analyzing Sentinel-1 images acquired on the 1 May 2018. As observed from the satellite imagery, a total of 92,000 ha of land were inundated in the area of interest. The most affected districts are Saakow, with almost 38,000 ha of flooded land and southern Diinsoor, with almost 27,000 ha. At least 20 settlements are potentially located within the flooded area. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent and potentially damaged buildings within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 & WorldView-3 images acquired on the 30 April & 1 May 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. Within the extension of the town, 66% of the buildings are located inside areas totally inundated and 34% inside areas partially inundated. Building footprints were generated by Humanitarian Open Street Map using an image from 2015, so the number of buildings affected might have been underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent over the districts of Saakow and Bu'aale, Middle Juba, Somalia. The mostly affected areas are in the district of Saakow, where 365 km2 of land are flooded. In total, 19 settlements are within the inundated zones: 12 in Buaale and 7 in Saakow; however, more than 100 settlements, are within 500 meters distance from the flooded areas and might be affected due to the proximity to Juba River. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected flood water extent in Somali Region, Ethiopia. The analysis was conducted by analysing a Sentinel-1 image acquired on the 7 May 2018. As observed from the satellite radar image, a total of 11,329 ha of land were inundated in the area of interest. By using WorldPop data, we estimate that at least 8,800 people are potentially affected or living close to the potentially flooded area. This corresponds to about 6% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • This map illustrates satellite-detected flood water extent in Somali Region, Ethiopia. The analysis was conducted by analysing a Sentinel-1 image acquired on the 1 May 2018. As observed from the satellite radar image, a total of 9,200 ha of land were inundated in the area of interest. By using WorldPop data, we estimate that at least 12,000 people are potentially affected or living close to the flooded area. This corresponds to about 7% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.